This reference guide is aimed at professional developers using modern Ruby on Rails. Author Obie Fernandez illuminates the entire Rails 5 API, its idioms, design approaches, and libraries. He presents new and updated content on Action Cable, RSpec 3.4, Turbolinks 5.0, the Attributes API, and many other enhancements, both major and subtle. The book uses code examples to illustrate Ruby on Rails, to show why it is designed as it is, and how to make it do exactly what you want.
<ASIN:0134657675>
Author: Obie Fernandez Publisher: Addison Wesley Date: Nov 2017 Pages: 1088 ISBN: 978-0134657677 Print: 0134657675 Kindle: B077D9X5NM Audience: Rails developers Level: Intermediate Category: Ruby
- Build powerful, scalable, REST-compliant back-end services
- Program complex program flows using Action Controller
- Represent models, relationships, and operations in Active Record, and apply advanced Active Record techniques
- Smoothly evolve database schema via Migrations
- Craft front-ends with ActionView and the Asset Pipeline
- Optimize performance and scalability with caching and Turbolinks 5.0
- Improve your productivity using Haml HTML templating
- Secure your systems against attacks like SQL Injection, XSS, and XSRF
- Integrate email using Action Mailer
- Enable real-time, websockets-based browser behavior with Action Cable
- Improve responsiveness with background processing
- Build “API-only” back-end projects that speak JSON
- Use enhancements to Active Job, serialization, and Ajax support
For recommendations of Ruby books see Gems Among Ruby Books in our Programmer's Bookshelf section.
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The Big Book of Small Python Projects
Author: Al Sweigart Publisher: No Starch Press Date: June 2021 Pages: 432 ISBN: 978-1718501249 Print: 1718501242 Kindle: B08FH9FV7M Audience: Novice Python developers Rating: 4 Reviewer: Lucy Black A project book? A good way to learn Python?
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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